ai model report

Is timm/vit_large_patch16_siglip_256.v2_webli safe to load?

CLEAN risk. 1 of 45 tracked dependencies carry advisories. Driven by No version-matched advisories and no malicious packages..

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// posture
advisories 100provenance 100resolution 100xyz safety 100load safety 60supply chain 100scanner trust 100code execution 100
fig. 01 — posture on eight axes, 100 is clean. Weakest: load safety at 60.
// the finding
0.0xyz score out of 10CLEAN

LOWShips both safetensors and 1 pickle-format file(s); a consumer passing use_safetensors=False takes the pickle path.

1 more finding on this model.

Author
timm
Task
image-feature-extraction
Loader
timm
License
apache-2.0
Downloads
82,709
Remote code
not required
// dependencies

4 direct, 1 with findings, 41 reachable

PackageEvidenceAdvisoriesWorst
torchdirect, inferred13none pinned
safetensorsdirect, inferred0none pinned
Create a free accountto see all 45 dependencies, which versions are pinned, and what to change.

Risk computed 2026-09-22 at 18:47 UTC. Dependencies come from the model's requirements, its declared loader and the code it ships; advisories from NVD, GHSA and OSV.

Model risk is computed from the model's declared and observed Python dependencies and the code it ships. If a finding is wrong, tell us.
Is timm/vit_large_patch16_siglip_256.v2_webli safe to load? AI model security report | CyberXYZ